{
  "id": 10306,
  "url": "https://arxiv.org/abs/2607.11895",
  "title": "AgentSociety 2: An Integrated Research Environment for Executable Social Science",
  "summary": "arXiv:2607.11895v1 Announce Type: new Abstract: AI scientist systems are beginning to automate parts of scientific research, but social science poses a distinct challenge: its objects of inquiry are not merely datasets or laboratory protocols, but integrated social processes involving situated participants, interaction contexts, interventions, and outcomes. Yet a critical link is missing: existing systems either assist isolated research tasks or simulate agents as experimental subjects, leaving ",
  "authors": "Jinghua Piao, Jun Zhang, Haoyu Huang, Keming Zhang, Jing Yi Wang, Songwei Li, Boyuan Sun, Jiayi Chang, Fengli Xu, Chunyan Wang, Fang Zhang, Ke Rong, Jun Su, Tianguang Meng, Yi Liu, Qingguo Meng, Yu Wang, Yong Li",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-15T04:00:00.000Z",
  "fetched_at": "2026-07-15T05:10:55.633Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/10306",
  "original_url": "https://arxiv.org/abs/2607.11895",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}